Energy Markets Analytics Internship — Power & Gas Insights

Trading Interview; Pennsylvania, United States, Northern America, Americas; Hybrid; USD 25.000 - 36.000; Vollzeit

Benefits dieser Stelle

Housing provided for internship

Casual, collaborative culture

On-site wellness center

Zusammenfassung

Susquehanna is seeking an Electricity Strategist Intern to work with our Energy Research team on data-driven modeling of the US power grid. You will partner with senior strategists and traders to locate information and datasets that improve forecasting and decision making.

The role emphasizes problem solving, attention to detail, and hands-on data work with Python, Pandas and MySQL. Housing is provided and the work culture is casual, collaborative and development-focused.

Qualifikationen

• Intend to graduate with a bachelor’s or master’s degree within one year of the internship.
• Interest in electricity markets and fundamentals with creative problem solving.
• Strong attention to detail and ability to map data.
• Familiarity with Python, Pandas and MySQL is preferred.
• Self-starting, quick learner, effective communicator and resourceful.

Aufgaben

• Support Susquehanna’s Energy Research team by identifying datasets to improve modeling of the US power grid.
• Collaborate with senior strategists and traders to analyze information for decision making.
• Contribute to data entry and mapping tasks to enhance data quality and accessibility.

Kenntnisse

Creative problem solving

Attention to detail

Data entry & mapping

Self-starter & quick learner

Effective communicator

Ausbildung

Bachelor's or Master's in Electrical Engineering or similar

Tools

Python

Pandas

MySQL

Jobbeschreibung

Susquehanna is seeking an Electricity Strategist Intern to work with our Energy Research team on data-driven modeling of the US power grid. You will partner with senior strategists and traders to locate information and datasets that improve forecasting and decision making.

The role emphasizes problem solving, attention to detail, and hands-on data work with Python, Pandas and MySQL. Housing is provided and the work culture is casual, collaborative and development-focused.